When people talk about assisted driving, they often find that there is a term called SR, or EID. The ideal environment sensing interface is called EID, while in many other models, people call that interface SR. Let’s take a closer look at what these two words refer to.
SR is the abbreviation of "Situational Awareness", which means environmental awareness or scene cognition.
The SR system obtains rich environmental information around the vehicle through sensors and processes this information, ultimately achieving a high level of understanding and judgment of the entire driving scene. The key functions implemented by the SR system are:
1. Road scene monitoring: detecting road signs, traffic lights, traffic signs, etc., and understanding the current road scene
2. Traffic participation Detection and classification of traffic participants: Detect pedestrians, bicycles, and other vehicles, and classify and identify them
3. Tracking and motion prediction: Track the movement of traffic participants, analyze movement trends, and predict future states
4. Intention understanding: Determine the intentions and future actions of other traffic participants, such as wanting to turn, change lanes, stop, etc.
5. Risk assessment: Evaluate potential risks in the current scenario Traffic risks, such as rear-end situations, sudden braking, etc.
6. Map positioning: Align sensor data with high-precision maps to accurately determine the position of the car and the surrounding environment< a i=8> Therefore, the SR system achieves in-depth recognition and understanding of the entire driving scene through environmental monitoring, tracking analysis, intention understanding, etc. This is why it is called the autonomous driving environment perception interface or Situational Awareness.
EID is the abbreviation of "Environmental Interpretation and Detection". The EID system and the SR (Situational Awareness) system have great overlap, and both are dedicated to collecting and understanding the environmental information around autonomous vehicles. However, the EID system has the following differences compared to the SR system:
1. The EID system focuses more on the interpretation and understanding of the sensor raw data, while the SR system focuses more on the understanding of the overall environmental scene. EID completes environmental modeling by analyzing and judging each independent sensor data, while SR fuses multi-source data
2. The EID system pays more attention to the detection, classification and attributes of environmental elements Judgment, such as judging the specific model and driving status of the other party's vehicle. The SR system pays more attention to interaction and prediction, such as judging the intention of the other driver, etc.
3. In the EID system, map information plays a smaller role. It mainly relies on environmental data directly obtained by sensors to make judgments. In the SR system, map data is one of the important inputs for environmental understanding
4. The risk assessment of the EID system focuses on determining static potential hazards in the environment, such as potholes on roads. The risk assessment of the SR system focuses more on risks in dynamic traffic scenarios, such as oncoming traffic collisions.
In short, there is a certain overlap between EID and SR systems, but the focus is slightly different. EID focuses more on the detection, classification and STATIC attribute judgment of basic elements of the environment, while SR focuses more on the understanding and prediction of the overall dynamic traffic scene. But as far as autonomous driving perception systems are concerned, EID and SR systems belong to the same category of environmental perception, rather than being completely separate concepts.